/*
 *    LEDGeneratorDrift.java
 *    Copyright (C) 2008 University of Waikato, Hamilton, New Zealand
 *    @author Albert Bifet
 *
 *    This program is free software; you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation; either version 2 of the License, or
 *    (at your option) any later version.
 *
 *    This program is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with this program; if not, write to the Free Software
 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
 */
package moa.streams.generators;

import weka.core.DenseInstance;
import weka.core.Instance;

import moa.core.InstancesHeader;
import moa.core.ObjectRepository;
import moa.options.IntOption;
import moa.tasks.TaskMonitor;

public class LEDGeneratorDrift extends LEDGenerator {

	@Override
	public String getPurposeString() {
		return "Generates a problem of predicting the digit displayed on a 7-segment LED display with drift.";
	}

	private static final long serialVersionUID = 1L;

	public IntOption numberAttributesDriftOption = new IntOption("numberAttributesDrift",
			'd', "Number of attributes with drift.", 1, 0, 7);

	protected int[] numberAttribute;

    @Override
	protected void prepareForUseImpl(TaskMonitor monitor,
			ObjectRepository repository) {
		super.prepareForUseImpl(monitor,repository);
		this.numberAttribute = new int[7+NUM_IRRELEVANT_ATTRIBUTES];
		for (int i = 0; i < 7+NUM_IRRELEVANT_ATTRIBUTES; i++) {
			this.numberAttribute[i] = i;
		}
		//Change atributes
		if (!this.suppressIrrelevantAttributesOption.isSet() && this.numberAttributesDriftOption.getValue() > 0) {
			int randomInt = 0;//this.instanceRandom.nextInt(7);
			int offset = 0;//this.instanceRandom.nextInt(NUM_IRRELEVANT_ATTRIBUTES);
			for (int i = 0; i < this.numberAttributesDriftOption.getValue(); i++) {
				int value1 = (i+randomInt) % 7;
				int value2 = 7 + ((i+offset) % (NUM_IRRELEVANT_ATTRIBUTES));
				this.numberAttribute[value1] = value2;
				this.numberAttribute[value2] = value1;
			}
		}
	}

	@Override
	public Instance nextInstance() {
		InstancesHeader header = getHeader();
		Instance inst = new DenseInstance(header.numAttributes());
		inst.setDataset(header);
		int selected = this.instanceRandom.nextInt(10);
		for (int i = 0; i < 7; i++) {
			if ((1 + (this.instanceRandom.nextInt(100))) <= this.noisePercentageOption
					.getValue()) {
				inst.setValue(this.numberAttribute[i], originalInstances[selected][i] == 0 ? 1 : 0);
			} else {
				inst.setValue(this.numberAttribute[i], originalInstances[selected][i]);
			}
		}
		if (!this.suppressIrrelevantAttributesOption.isSet()) {
			for (int i = 0; i < NUM_IRRELEVANT_ATTRIBUTES; i++) {
				inst.setValue(this.numberAttribute[i + 7], this.instanceRandom.nextInt(2));
			}
		}
		inst.setClassValue(selected);
		return inst;
	}

    @Override
	public void getDescription(StringBuilder sb, int indent) {
		// TODO Auto-generated method stub

	}

}
